factor dimension
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2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Liangliang Wang

The optimization of important multidimensional factors is conducive to cognitive engagement, which is a crucial dimension of student engagement and plays a significant role in college students’ learning of the Ideological and Political Theory Course. However, because there are many influencing factors associated with cognitive engagement, the influence mechanism and analysis strategy of this kind of model are relatively complex. In order to solve this research gap, this paper establishes an optimization model affecting Chinese college students’ cognitive engagement in IPTC on the basis of sample collection and investigation. In this process, 4,700 questionnaires were distributed to 47 colleges and universities across the country, and copies were effectively recovered (N = 3992); the effective recovery rate was 84.94%. Cronbach’s alpha of 0.759 indicates that the scale has high reliability and Pearson’s correlation coefficient P  ≤ 0.001 shows that the scale has good validity. The KMO value of 0.703 in the Bartlett sphere test also shows that the scale is suitable for factor analysis. Firstly, according to the method of factor analysis, there are six important factor dimensions affecting college students’ cognitive engagement in the IPTC, namely, attention and motivation factor dimension, behavior and value attainment factor dimension, interest and practicality factor dimension, personality and will factor dimension, evaluation and time factor dimension, and knowledge and strategy factor dimension. Then, through descriptive analysis, it is found that personality and will factor dimension (M = 6.5837) plays a relatively major role while knowledge motivation dimension (M = 6.3505) has a weak impact on cognitive engagement. Finally, from linear regression analysis, there is a significant positive correlation between cognitive engagement and other variables. In addition, undergraduates are slightly lacking motivation in the learning of the course, and vigorously strengthening college students’ cognitive engagement is still necessary, so as to effectively enhance the effectiveness of the IPTC in the future.


E-shopping market in recent economy is observing high rate of growth in Asian countries especially in India. Many benefits of e-shopping have attracted customers to purchase online. Since last few months the traditional market is restricted to remain open under various guidelines described by government with the motive to keep watch on the spreading of COVIND 19. All this circumstances along with government insistence to keep open certain product lines of e-shopping sites have witnessed to encourage E-shopping business in India. To enhance current market share ecommerce firms must take care of customer satisfaction that can bring good business in present and future too. With the motive to identify the most significant factor for satisfaction current study was conducted for Gujarat region. For the analysis of the primary data descriptive statistics to explain characteristics of respondent and to indentify most vital variables to measure satisfaction of respondents factor analysis using SPSS 20 was conducted. The output of factor analysis have identified 3 factor dimension based on the degree of correlation which represent that delivery/shipping charges, price comparison facility on website and return policy are the most significant factors considered by e-shoppers while taking purchase decision and hence ecommerce firm must take care of this factors to enhance their business.


2019 ◽  
pp. 37-56
Author(s):  
Miljan Kalem ◽  
Slobodanka Mitrovic ◽  
Aleksandra Lazarevic

In this paper, researching results of the selected factors? influence on productivity of parquet production on the example of the selected company in the Republic of Serbia are presented. The analysis has included the influence of the two main factors, dimension and class of parquet quality on productivity. This research has had an aim to determine dependency between the productivity and the mentioned factors, to get corresponding conclusions, to give expert recommendation and to propose suitable management decisions, which would provide an increase in the productivity in the selected company. In order to determine the dependency between the productivity and the mentioned factors, statistical modeling is performed in the program SPSS v.20. Interpretation of the results in the statistical program SPSS, established a strong influence of the analyzed factors on productivity. Statistical significance of the factor dimension influence on productivity is Sig.1= 0.010, while the statistical significance of the parquet class quality factor influence on productivity is Sig. = 0,000. Statistical significance of the factor interaction influence of these factors on productivity is Sig. = 0,028. According to the researching results, it is concluded that parquet productivity depends on the mentioned factors.


1965 ◽  
Vol 111 (474) ◽  
pp. 399-404 ◽  
Author(s):  
R. Blackburn

Much of the current research on personality questionnaires has concerned itself with response style or bias related to “social desirability”, in which the first factor dimension of the M.M.P.I. is implicated (Edwards and Heathers, 1962). Stable personality differences have been detected between those who are placed high and low on this dimension as measured by a number of M.M.P.I. scales (e.g. Pt (Psychasthenia), K (Defensiveness), Taylor's MAS (Manifest Anxiety), Welsh's A (Anxiety) Scale—see Christie and Lindauer, 1963). However, a lack of integration has resulted from a failure to recognize that the same personality variable is being measured by scales of “social desirability”, “repression-sensitization”, or the tendency to deny or admit symptoms, and as well as “social desirability”, this factor has been identified as “general maladjustment or ego weakness” (Kassebaum, Couch and Slater, 1959), and “neuroticism” (Eysenck, 1962).


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